Soil creep is a slow type of mass movement that, despite its low velocity, can significantly influence slope stability and landscape evolution over time. Understanding its mechanisms and spatial variability is essential for assessing slope stability. However, obtaining high-quality long-term data on creep activity remains a challenge. Dendrogeomorphic methods offer a promising approach to reconstruct past creep movements, but their application to shallow creep processes still requires further refinement. Therefore, this research undertakes a dendrogeomorphic analysis of shallow creep movements on flysch rock slopes, utilizing tree-ring eccentricity as an indicator of this geomorphic process. A total of 136 increment cores from 68 Norway spruce (Picea abies (L.) H. Karst.) trees were analysed, revealing the spatio-temporal dynamics of shallow creep and its relationship with slope morphometry and weathering mantle thickness. The eccentricity values were spatially interpolated to visualize the evolution of creep activity over decades, which showed its significant spatial variability. Statistical analyses, including Pearson's and Spearman's correlation coefficients, were employed to examine the relationships between tree-ring eccentricity and various environmental factors. Results indicated that tree age influences the sensitivity to creep signals, with older trees showing increased eccentricity, suggesting a heightened response to creep movements. The study also explored the impact of precipitation on creep activity, identifying a weak, non-significant positive relationship. This comprehensive analysis enhances the understanding of shallow creep mechanisms and contributes to the broader field of dendrogeomorphology.

Loess landforms in the Loess Plateau are typical landforms in arid and semiarid areas and have a significant impact on the environment and soil erosion. Quantitative analyses on loess landform have been employed from various perspectives. Peak intervisibility can provide the potential topographic information implied in the visual connectivity of peaks, however, its application in loess landform analysis remains unexplored. In this study, the interwoven sightlines among peaks, representing peak intervisibility, were extracted from the digital elevation model and simulated into a peak intervisibility network (PIN). Nine indices were proposed to quantify the PIN. Through a case study in Northern Shaanxi, China, three tasks were conducted, including, landform interpretation, spatial pattern mining, and landform classification. The main findings are as follows: (1) PIN responds to terrain morphology and is beneficial for loess landform interpretation. (2) The spatial patterns of PIN indices are heterogeneous and strongly coupled with the terrain morphologies, showing anisotropy and autocorrelation in spatial variations. (3) Using the light gradient boost machine classifier, the PIN index-based classification reaches a mean accuracy of 86.09%, an overall accuracy of 86% and a kappa coefficient of 0.84. These findings shed light on the applicability of PIN in loess landform analysis. Peak intervisibility not only enriches the theories and methodologies of relation-based digital terrain analysis, but also enhances our comprehension of loess landform genesis, morphology, distribution, and evolution.

Although creep is a relatively slow slope movement, it can precede catastrophic events, and therefore information on its past occurrence is crucial to assessing the extent of natural hazards. Dendrogeomorphic methods are very effective tools for analyzing different types of slope processes, but their use in creep studies is still very limited. In doing so, it can be a unique source of information that cannot be ascertained in any other way. Thus, this study focused on validating the potential of tree-ring-based methods in the analysis of spatio-temporal creep activity. For the research, 420 tree-ring series from 210 individuals of common spruce (Picea abies (L.) Karst.) evenly distributed on the study slope were analyzed. The methodological apparatus used had to be adapted to the needs of the specific behavior of creep compared to other types of slope processes. These included the determination of a high minimum number of trees defining the relevant part of the chronology, specific sampling, or the absence of a threshold value for the event-response index. This resulted in two chronologies, the first of which was constructed from average annual values of tree-ring eccentricity and characterized a rather continuous creep that showed signs of a steady decline in its activity. The second chronology was constructed from the occurrence of compression wood and abrupt growth suppression, i.e., growth responses following major slope movements. This chronology reflected more of an acceleration phase of seasonal creep. The spatial reconstruction of creep showed high variability of tree-ring-based signals with no tendency to cluster. This study not only provided new insights into the possibility of using dendrogeomorphic analysis in creep research but also indicated a further direction in this field, which may include in particular the analysis of age-dependency of P. abies to form asymmetric growth or the effect of tree size on local acceleration of creep.

Climate change drives disturbance in hydrology and geomorphology in terrestrial polar landscapes underlain by permafrost, yet measurements of, and theories to understand, these changes are limited. Water flowing from permafrost hillslopes to channels is often modulated by water tracks, zones of enhanced soil moisture in unchannelized depressions that concentrate water flow downslope. Water tracks, which dominate hillslope hydrology in some permafrost landscapes, lack a consistent definition and identification method, and their global occurrence, morphology, climate relationships, and geomorphic roles remain understudied despite their role in the permafrost carbon cycle. Combining a literature review with a synthesis of prior work, we identify uniting and distinguishing characteristics between water tracks from disparate polar sites with a toolkit for future field and remotely sensed identification of water tracks. We place previous studies within a quantitative framework of top-down climate and bottom-up geology controls on track morphology and hydrogeomorphic function. We find the term water track is applied to a broad category of concentrated suprapermafrost flowpaths exhibiting varying morphology, degrees of self-organization, hydraulic characteristics, subsurface composition, vegetation, relationships to thaw tables, and stream order/hillslope position. We propose that the widespread occurrence of water tracks on both poles across varying geologic, ecologic, and climatic factors implies that water tracks are in dynamic equilibrium with the permafrost environment but that they may experience change as the climate continues to warm. Current knowledge gaps include these features' trajectories in the face of ongoing climate change and their role as an analog landform for an active Martian hydrosphere.

Flood hazards pose a significant threat to communities and ecosystems alike. Triggered by various factors such as heavy rainfall, storm surges, or rapid snowmelt, floods can wreak havoc by inundating low-lying areas and overwhelming infrastructure systems. Understanding the feedback between local geomorphology and sediment transport dynamics in terms of the extent and evolution of flood-related damage is necessary to build a system-level description of flood hazard. In this research, we present a multispectral imagery-based approach to broadly map sediment classes and how their spatial extent and relocation can be monitored. The methodology is developed and tested using data collected in the Ahr Valley in Germany during post-disaster reconnaissance of the July 2021 Western European flooding. Using uncrewed aerial vehicle-borne multispectral imagery calibrated with laboratory-based soil characterization, we illustrate how fine and coarse-grained sediments can be broadly identified and mapped to interpret their transport behavior during flood events and their role regarding flood impacts on infrastructure systems. The methodology is also applied to data from the 2022 flooding of the Yellowstone River, Gardiner, Montana, in the United States to illustrate the transferability of the developed approach across environments. Here, we show how the distribution of soil classes can be mapped remotely and rapidly, and how this facilitates understanding their influence on local flow patterns to induce bridge abutment scour. The limitations and potential expansions to the approach are also discussed.

Proper characterization of river flow is essential for the development of structural and non-structural measures to reduce flood damages, restore ecosystem functions, and manage environmental contaminants in riparian zones. The duration of flood events is an important feature that drives riverine processes and functions such as erosion, geomorphic adjustment, habitat suitability, and nutrient and water quality dynamics. Despite this, most flood characterization methods focus on relating the magnitude of annual-maximum discharges to frequency, without addressing the duration of flood events. We investigated event-specific discharge-duration dynamics at 33 USGS stream gages within the US state of Vermont. Building on the method of Feng et al., 2017, , flood events from 15-min discharge timeseries were extracted using an automated threshold method. A statistical model was fit at each gage for both frequency of discharge exceedance and conditional duration of discharge exceedance. This Duration-Over-Threshold model estimates the arrival rate of a discharge threshold, q, being exceeded for a given duration, d. Fitted model parameters were compared to basin and channel physiographical characteristics to develop regional regression equations and examine potential watershed processes underlying the duration dynamics. Model parameters summarizing event duration were best predicted by drainage area, mainstem slope, and soil depth/type. The regional regression equations enable design event estimation in ungaged catchments of the study region, which may be used to improve the predictive capacity of hydraulic and ecosystem models, outline a range of potential geomorphic trajectories, or inform emergency management plans and flood damage rating curves.

The 2021 Cyclone Seroja was a category 3 storm that made landfall on Lembata Island, causing extensive damage. This study aims to identify key interpretations of sediment transport related to tropical cyclones (TC) Seroja and past floods using a geopedological approach, estimate the return period through frequency analysis, and determine the rainfall threshold for flooding using HEC-RAS software. Extreme rainfall data from global precipitation model (GPM) (2000-2023) in Wei Laing watershed were analysed alongside LiDAR terrain data, physical and chemical properties of soil, and land cover data. Based on geopedological analysis, the result shows that the erosional-transfer zone of Wei Laing Watershed has thin, loamy, and slightly sandy soils due to erosion and limited pedogenesis. The depositional zone contains flood deposits with abrupt vertical texture changes, reflecting transported coarse grains and finer in-situ sediments. The modern flood deposit (TC Seroja flood deposit) was identified by texture, CaCO3 content, organic matter, and coarse organic material. The fine-grained flood deposits (<_ 4 cm) are classified as slackwater deposits, consist of silty clay loam and silt loam textures, reflecting deposition under slow-flowing conditions. TC Seroja corresponds to a 50-year return period. Hydrological modelling indicates a 60 mm/day rainfall threshold for flooding, with 77 flood events recorded between 2000-2023. The model is confirmed by thick past flood deposits enriched with coarse organic materials. These findings provide insight into flood dynamics and sedimentary responses, supporting future flood risk mitigation efforts.

We review the progress of research on permafrost and periglacial dynamics over the last two decades and explore future periglacial landscapes in Svalbard, High Arctic. This area has been subjected to rapid air and ground warming at a rate of 0.10.2 degrees C yr-1, as well as simultaneous thawing of the top layer of permafrost at a rate of about 1 cm yr-1 over the last two decades. Periglacial features studied include ice-wedge polygons, mudboils, sorted patterned ground, pingos, solifluction lobes, active-layer detachment slides, and rock glaciers. These landforms are concentrated within narrow alluvial plains and valley-side slopes but separated by geomorphological specifics and ground materials. Decadal-scale monitoring highlights climatic control of the morphology and dynamics of three landforms & horbar;ice-wedge polygons, mudboils, and rock glaciers & horbar;and the impact of long-term warming on their dynamics. Despite the location close to the southern limit of continuous permafrost, multiple cold spells in mid-winter activate thermal contraction cracking, which permits the growth of ice wedges. If such cold spells continue under a warmer climate, ice wedge could still grow below the deepening active layer. In a mudboil-small polygon landscape, seasonal frost heaving (or thaw settlement) of the central mound is coupled with closing (or opening) of the marginal crack. This movement would be maintained under a warmer climate and at a deeper active layer if the active layer is kept very humid. Although the contemporary cold climate is generally unfavorable for the growth of well-developed rock glaciers in Svalbard, slow permafrost creep at a rate of a few centimeters per year produces basal bulging of the valley-side talus slopes. The warming trend in the last decade has led to a steady acceleration of the movement. Further warming in the near future is expected to develop longer valley-side rock glaciers.

The Pohang Basin sustained the most extensive seismic damage in the history of instrumental recording in Korea due to the 2017 Mw 5.5 earthquake. The pattern of damage shows marked differences from a radial distribution, suggesting important contributions by local site effects. Our understanding of these site effects and their role in generating seismic damage within the study area remains incomplete, which indicates the need for a thorough exploration of subsurface information, including the thickness of soil to bedrock and basin geometry, in the Pohang Basin. We measured the depth to bedrock in the Pohang Basin using dense ambient noise measurements conducted at 698 sites. We propose a model of basin geometry based on depths and dominant frequencies derived from the horizontal-to-vertical spectral ratio (HVSR) of microtremor at 698 sites. Most microseismic measurements exhibit one or more clear HVSR peak(s), implying one or more strong impedance contrast(s), which are presumed to represent the interface between the basement and overlying basin-fill sediments at each measurement site. The ambient seismic noise induces resonance at frequencies as low as 0.32 Hz. The relationship between resonance frequency and bedrock depth was derived using data from 27 boreholes to convert the dominant frequencies measured at stations adjacent to the boreholes into corresponding depths to the strong impedance contrast. The relationship was then applied to the dominant frequencies to estimate the depth to bedrock over the whole study area. Maps of resonance frequency and the corresponding depth to bedrock for the study area show that the greatest depths to bedrock are in the coastal area. The maps also reveal lower fundamental frequencies in the area west of the Gokgang Fault. The results indicate a more complex basin structure than previously proposed based on a limited number of direct borehole observations and surface geology. The maps and associated profiles across different parts of the study area show pronounced changes in bedrock depth near inferred blind faults proposed in previous studies, suggesting that maps of bedrock depth based on the HVSR method can be used to infer previously unknown features, including concealed or blind faults that are not observed at the surface.

The areas covered by permafrost in the polar regions are vulnerable to rapid changes in the current climate. The well-studied near-surface active layer and permafrost zone are in contrast to the unknown exact shape of the bottom permafrost boundary. Therefore, the entire shape of permafrost between the upper and lower boundaries is not identified with sufficient accuracy. Since most of the factors affecting deep cryotic structures are subsurface in nature, their evolution in deeper layers is also relatively unclear. Here, we propose a hypothesis based on the results of geophysical studies regarding the shape of the permafrost in the coastal area of Svalbard, Southern Spitsbergen. In the article, we emphasize the importance of recognizing not only the uppermost active layer but also the bottom boundary of permafrost along with its transition zone, due to the underestimated potential role of its continuity in observing climate change. The lower permafrost boundary is estimated to range from 70 m below the surface in areas close to the shore to 180 m inland, while a continuous layer of an entirely frozen matrix can be identified with a thickness between 40 m and 100 m. We also hypothesized the presence of the possible subsea permafrost in the Hornsund. The influence of seawater intrusions, isostatic uplift of deglaciated areas, and surface-related processes that affect permafrost evolution may lead to extensive changes in the hy-drology and geology of the polar regions in the future. For all these reasons, monitoring, geophysical imaging and understanding the characteristics and evolution of deep permafrost structures requires global attention and scientific efforts.